Electrical and Computer Engineering
101.
Introduction to Electrical and Computer Engineering.
(1)
Insight into electrical and computer engineering is gained through videos and the use of computer software to learn basic problem-solving skills.
131.
Programming Fundamentals.
(3)
Fundamental programming concepts, including consideration of abstract machine models with emphasis on the memory hierarchy, basic programming constructs, functions, parameter passing, pointers and arrays, file I/O, bit-level operations and interfacing to external devices.
203.
Circuit Analysis I.
(3)
Basic elements and sources. Energy and power. Ohm's law and Kirchhoff's laws. Resistive networks, node and loop analysis. Network theorems. First-order and second-order circuits. Sinusoidal sources and complex representations: impedance, phasors, complex power. Three-phase circuits.
Prerequisite: ENG 120 or MATH 163.
Pre- or corequisite: PHYC 161.
206L.
Instrumentation.
(2)
Introduction to laboratory practices and the use of test equipment. Measurements on basic electrical components, dc and ac circuits using ohmmeters, voltmeters, ammeters and oscilloscopes. Circuit simulation.
Prerequisite: 203 and ENGL 120.
213.
Circuit Analysis II.
(3)
General transient analysis of electrical circuits. Laplace transform with applications to circuit analysis. State-space equations. Fourier series analysis. The network function; convolution; frequency response.
Prerequisite: 203 and MATH 316.
Corequisite: MATH 314.
231.
Intermediate Programming and Engineering Problem Solving.
(3)
Introduction to elementary data structures, program design and computer-based solution of engineering problems. Topics include use of pointers, stacks, queues, linked lists, trees, graphs, systems and device-level programming and software design methodology.
Prerequisite: 131.
238L.
Computer Logic Design.
(4)
Binary number systems. Boolean algebra. Combinational, sequential and register transfer logic. VHDL. Arithmetic/logic unit. Memories, computer organization. Input-output. Microprocessors.
Prerequisite: 131.
300.
Advanced Engineering Mathematics.
(4)
First and second order Ordinary Differential Equations are solved with various methods including Laplace Transforms, matrices, eigenvalues and other techniques involving linear algebra. Applications will be emphasized using MATLAB.
Prerequisite: MATH 163.
Restriction: admitted to School of Engineering.
**314.
Signals and Systems.
(3)
Continuous and discrete time signals and systems; time and frequency domain analysis of LTI systems, Fourier series and transforms, discrete time Fourier series/transform sampling theorem, block diagrams, modulation/demodulation, filters.
Prerequisite: 213 and MATH 264.
Restriction: admitted to School of Engineering.
**321L.
Electronics I.
(4)
Introduction to diodes, bipolar and field-effect transistors. Analysis and design of digital circuits, gates, flip-flops and memory circuits. Circuits employing operational amplifiers. Analog to digital and digital to analog converters.
Prerequisite: 213.
Restriction: admitted to School of Engineering.
**322L.
Electronics II.
(4)
Analysis, design, and characterization of linear circuits including operational amplifiers. Design of biasing and reference circuits, multistage amplifiers, and feedback circuits.
Prerequisite: **321L.
Restriction: admitted to School of Engineering.
330.
Software Design.
(3)
Design of software systems using modern modeling techniques. Relationship between software design and process, with emphasis on UML and its interface application code. Exposure to design patterns, software frameworks, and software architectural paradigms.
Prerequisite: 231.
Restriction: admitted to School of Engineering.
**331.
Data Structures and Algorithms.
(3)
An introduction to data structures and algorithms. Topics include asymptotic notation recurrence relations, sorting, hash tables, basic priority queues, balanced search trees and basic graph representation and search.
Prerequisite: 231 and MATH **327.
Corequisite: **340.
Restriction: admitted to School of Engineering.
**335.
Integrated Software Systems.
(3)
Course considers design principles, implementation issues, and performance evaluation of various software paradigms in an integrated computing environment. Topics include performance measurement and evaluation, program optimization for the underlying architecture, integration and security for large-scale software systems.
Prerequisite: 330.
Restriction: admitted to School of Engineering.
**337.
Introduction to Computer Architecture and Organization.
(3)
Survey of various levels of computer architecture and design; microprogramming and processor architecture, assembly language programming, operating system concepts and input/output via the operating system. Three lectures, 1 hr. lab.
Prerequisite: 231 and 238L.
Restriction: admitted to School of Engineering.
{Spring}
**338.
Intermediate Logic Design.
(3)
Advanced combinational circuits; XOR and transmission gates; computer-based optimization methods; RTL and HDL; introduction to computer aided design; advanced sequential machines; asynchronous sequential machines; timing issues; memory and memory interfacing; programmable logic devices; and VLSI concepts.
Prerequisite: 238L.
Restriction: admitted to School of Engineering.
**340.
Probabilistic Methods in Engineering.
(3)
Introduction to probability, random variables, random processes, probability distribution/density functions, expectation correlation, power spectrum, WSS processes, confidence internals, transmission through LIT systems, applications of probability.
Prerequisite: 300 or MATH **314.
Corequisite: **314.
Restriction: admitted to School of Engineering.
341.
Introduction to Communication Systems.
(3)
Amplitude/frequency modulation, pulse position/amplitude modulation, probabilistic noise model, AWGN, Rice representation, figure of merit, phase locked loops, digital modulation, introduction to multiple access systems.
Prerequisite: **314 and **340.
Restriction: admitted to School of Engineering.
**344L.
Microprocessors.
(4)
Computers and Microprocessors: architecture, assembly language programming, input/output and applications. Three lectures, 3 hours lab.
Prerequisite: 206L and 238L and **321L.
Restriction: admitted to School of Engineering.
345.
Introduction to Control Systems.
(3)
Introduction to the feedback control problem. Plant modeling, transfer function and state-space descriptions. Stability criteria. Nyquist and root-locus design. Introduction to analytical design. Z-transforms and digital control. Laboratory design project.
Prerequisite: **314.
Restriction: admitted to School of Engineering.
**360.
Electromagnetic Fields and Waves.
(3)
Maxwell’s equations, plane wave propagation, waveguides and transmission lines, transient pulse propagation and elementary dipole antenna.
Prerequisite: 213 and PHYC 161 and MATH 264.
Restriction: admitted to School of Engineering.
**371.
Materials and Devices.
(3 to a maximum of 6 Δ)
Introduction to quantum mechanics, crystal structures, insulators, metals, and semiconductor material properties, bipolar, field effect and light emitting devices.
Prerequisite: PHYC 262.
Restriction: admitted to School of Engineering.
381.
Introduction to Electric Power Systems.
(3)
Provides in-depth look at various elements of power systems including power generation, transformer action, transmission line modeling, symmetrical components, pf correction, real/quadrature power calculations, load flow analysis and economic considerations in operating systems.
Prerequisite: 213.
Restriction: admitted to School of Engineering.
412.
Introduction to Computer Graphics: Scanline Algorithms.
(3)
(Also offered as CS 412)
This course is an introduction to the technical aspects of raster algorithms in computer graphics. Students will learn the foundational concepts of 2-D and 3-D graphics as they relate to real-time and offline techniques. Students will develop a video game as a final project to demonstrate the algorithms learned in class.
Prerequisite: **331 or CS 361L.
Restriction: admitted to School of Engineering.
{Fall}
413.
Introduction to Ray and Vector Graphics.
(3)
(Also offered as CS 413)
Topics include ray-geometry intersections, viewing, lenses, local/global illumination, procedural textures/models, spline curves and surfaces, and statistical integration for realistic image synthesis. Students will write a raytracing renderer from scratch, exploring high performance implementations and realistic rendering.
Prerequisite: 331 or CS 361L.
Restriction: admitted to School of Engineering.
419.
Senior Design I.
(3)
Design methodology and development of professional project oriented skills including communication, team management, economics and engineering ethics. Working in teams, a proposal for a large design is prepared in response to an industrial or in-house sponsor.
Restriction: admitted to School of Engineering and ECE major and senior standing.
420.
Senior Design II.
(3)
Continuation of 419. Students work in teams to implement 419 proposal. Prototypes are built and tested to sponsor specifications, and reports made to sponsor in addition to a Final Report and Poster Session presentation.
Prerequisite: 419
Restriction: admitted to School of Engineering.
421 / 523.
Analog Electronics.
(3)
Design of advanced analog electronic circuits. BJT and MOSFET operational amplifiers, current mirrors and output stages. Frequency response and compensation. Noise. A/D and D/A converters.
Prerequisite: **322L.
Restriction: admitted to School of Engineering.
*424.
Digital VLSI Design.
(3)
CMOS logic gates and circuits, transistor implementations, applications to sequential circuits, VLSI data path and controller design, VLSI routing issues and architectures, RTL and VLSI impacts and applications to microprocessor design.
Prerequisite: **321L and **338.
Restriction: admitted to School of Engineering.
*432.
Introduction to Parallel Processing.
(3)
(Also offered as CS 442 / 542)
Machine taxonomy and introduction to parallel programming. Performance issues, speed-up and efficiency. Interconnection networks and embeddings. Parallel programming issues and models: control parallel, data parallel and data flow. Programming assignments on massively parallel machines. Completion of *437 or CS **481 is recommended.
Prerequisite: (**331 or CS 351L) and CS 341L.
Restriction: admitted to School of Engineering.
**435.
Software Engineering.
(3)
Management and technical issues including business conduct and ethics related to the design of large engineering projects. Student teams will address the design, specification, implementation, testing and documentation of a large hardware/software project.
Pre- or corequisite: **331.
Restriction: admitted to School of Engineering.
*437.
Computer Operating Systems.
(3)
(Also offered as CS **481)
Fundamental principles of modern operating systems design, with emphasis on concurrency and resource management. Topics include processes, interprocess communication, semaphores, monitors, message passing, input/output device, deadlocks memory management, files system design.
Prerequisite: 330 or CS 341L.
Restriction: admitted to School of Engineering.
*438.
Design of Computers.
(3)
Computer architecture; design and implementation at HDL level; ALU, exception handling and interrupts; addressing; memory; speed issues; pipelining; microprogramming; introduction to distributed and parallel processing; buses; bus protocols and bus masters. CAD project to include written and oral presentations.
Prerequisite: **338 and **344L.
Restriction: admitted to School of Engineering.
*439.
Introduction to Digital Signal Processing.
(3)
Bilateral Z transforms, region of convergence, review of sampling theorem, aliasing, the discrete Fourier transform and properties, analysis/design of FIR/IIR filters, FFT algorithms spectral analysis using FFT.
Prerequisite: **314.
Restriction: admitted to School of Engineering.
*440.
Introduction to Computer Networks.
(3)
(Also offered as CS **485)
Theoretical and practical study of computer networks, including network structures and architectures. Principles of digital communications systems. Network topologies, protocols and services. TCP/IP protocol suite. Point-to-point networks; broadcast networks; local area networks; routing, error and flow control techniques.
Prerequisite: 330.
Restriction: admitted to School of Engineering.
*442.
Introduction to Wireless Communications.
(3)
The course is an introduction to cellular telephone systems and wireless networks, drawing upon a diversity of electrical engineering areas. Topics include cellular concepts, radio propagation, modulation methods and multiple access techniques.
Prerequisite: **314 and **360.
Restriction: admitted to School of Engineering.
*443.
Hardware Design with VHDL.
(3)
The VHDL hardware description language is used for description of digital systems at several levels of complexity, from the system level to the gate level. Descriptions provide a mechanism for documentation, for simulation and for synthesis.
Prerequisite: **338.
Restriction: admitted to School of Engineering.
*446.
Design of Feedback Control Systems.
(3)
Modeling of continuous and sampled-data control systems. State-space representation. Sensitivity, stability and optimization of control systems. Design of compensators in the frequency and time domains. Phase-plane, describing function design for non-linear systems, and laboratory design project.
Prerequisite: 345.
Restriction: admitted to School of Engineering.
456 / 556.
Entrepreneurial Engineering.
(3)
(Also offered as ME 556)
Review and application of necessary elements for successfully launching technical businesses; focuses upon technology, manufacturing, management, marketing, legal and financial aspects. Students work in groups developing elements of new businesses and producing business plans.
Restriction: admitted to School of Engineering and senior standing.
460 / 560.
Introduction to Microwave Engineering.
(3)
This lecture/laboratory course provides essential fundamentals for rf, wireless and microwave engineering. Topics include: wave propagation in cables, waveguides and free space; impedance matching, standing wave ratios, Z- and S- parameters.
Prerequisite: **360.
Restriction: admitted to School of Engineering.
*463.
Advanced Optics I.
(3)
(Also offered as PHYC *463)
Electromagnetic theory of geometrical optics, Gaussian ray tracing and matrix methods, finite ray tracing, aberrations, interference and diffraction.
Prerequisite: PHYC **302.
Restriction: admitted to School of Engineering.
*464.
Laser Physics.
(3)
(Also offered as PHYC *464)
Resonator optics. Rate equations; spontaneous and stimulated emission; gas, semiconductor and solid state lasers, pulsed and mode-locked laser techniques.
Prerequisite: **360 or PHYC *406.
Restriction: admitted to School of Engineering.
469 / 569.
Antennas for Wireless Communication Systems.
(3)
Aspects of antenna theory and design; radiation from dipoles, loops, apertures, microstrip antennas and antenna arrays.
Prerequisite: **360.
Restriction: admitted to School of Engineering.
*471.
Materials and Devices II.
(3)
An intermediate study of semiconductor materials, energy band structure, p-n junctions, ideal and non-ideal effects in field effect and bipolar transistors.
Prerequisite: **360 and **371.
Restriction: admitted to School of Engineering.
474L / 574L.
Microelectronics Processing.
(3)
(Also offered as NSMS 574L)
Materials science of semiconductors, microelectronics technologies, device/circuit fabrication, parasitics and packaging. Lab project features small group design/fabrication/testing of MOS circuits.
Corequisite: **371.
Restriction: admitted to School of Engineering.
*475.
Introduction to Electro-Optics and Opto-Electronics.
(3)
Basic electro-optics and opto-electronics, with engineering applications. Interaction of light with matter. Introduction to optics of dielectrics, metals and crystals. Introductory descriptions of electro-optic, acousto-optic and magneto-optic effects and related devices. Light sources, displays and detectors. Elementary theory and applications of lasers, optical waveguides and fibers.
Prerequisite: **371.
Restriction: admitted to School of Engineering.
482 / 582.
Electric Drives and Transformers.
(3)
Electromagnetic theory and mechanical considerations are employed to develop models for and understanding of Transformers, Induction Machines and Synchronous Machines. Additionally, DC Machines are discussed.
Prerequisite: 203 and 213.
Restriction: admitted to School of Engineering.
483 / 583.
AC Power Electronics [Power Electronics].
(3)
Introduces modern power conversion techniques at a lower level, dealing with basic structures of power converters and techniques of analyzing converter circuits. Students learn to analyze and design suitable circuits and subsystems for practical applications.
Prerequisite: **321L and **371 and 381.
Restriction: admitted to School of Engineering.
484 / 584.
Photovoltaics.
(3)
Technical concepts of photovoltaics. Solar cell device level operation, packaging, manufacturing, designing phovoltaic system for stand-alone or grid-tied operation, some business-case analysis and some real-life scenarios of applicability of these solutions.
Prerequisite: 381 and MATH 121.
Restriction: admitted to School of Engineering.
488 / 588.
Smart Grid Technologies.
(3)
A detailed study of current and emerging power and energy systems and technologies. Including renewable energies, storage, Smart Grid concepts, security for power infrastructure. Software modeling of power systems and grids.
Prerequisite: 381 and 482 and 483 and 484.
Restriction: admitted to School of Engineering.
489 / 589.
DC Power Electronics.
(3)
Analysis and design of practical power electronic circuits and grid or off-grid inverters. Operation and specification of power devices such as diodes, MOSFETS, IGBTs, SCRs, inductors, and transformers. Simulation of converters using SPICE.
Prerequisite: **321L and **371 and 381.
490.
Internship.
(3)
Professional practice under the guidance of a practicing engineer. Assignments include design or analysis of systems or hardware, or computer programming. A preliminary proposal and periodic reports are required. The engineer evaluates student’s work; a faculty monitor assigns grade (12 hours/week) (24 hours/week in summer session).
Offered on a CR/NC basis only.
Restriction: admitted to School of Engineering and ECE major and junior standing.
491.
Undergraduate Problems.
(1-6 to a maximum of 6 Δ)
Registration for more than 3 hours requires permission of department chairperson.
Restriction: admitted to School of Engineering.
493.
Honors Seminar.
(1-3)
A special seminar open only to honors students. Registration requires permission of department chairperson.
Restriction: admitted to School of Engineering.
494.
Honors Individual Study.
(1-6)
Open only to honors students.
Registration requires permission of the department chairperson and of the supervising professor.
Restriction: admitted to School of Engineering.
495 / 595.
Special Topics.
(1-4 to a maximum of 9, 1-4 to a maximum of 15 Δ)
Restriction: admitted to School of Engineering and ECE major and senior standing.
500.
Theory of Linear Systems.
(3)
State space representation of dynamical systems. Analysis and design of linear models in control systems and signal processing. Continuous, discrete and sampled representations. This course is fundamental for students in the system areas.
506.
Optimization Theory.
(3)
Introduction to the topic of optimization by the computer. Linear and nonlinear programming. The simplex method, Karmakar method, gradient, conjugate gradient and quasi-Newton methods, Fibonacci/Golden search, Quadratic and Cubic fitting methods, Penalty and Barrier methods.
510.
Medical Imaging.
(3)
This course will introduce the student to medical imaging modalities (e.g. MRI, Nuclear Imaging, Ultrasound) with an emphasis on a signals and systems approach. Topics will include hardware, signal formation, image reconstruction and application.
511.
Analysis Methods in Functional Magnetic Resonance Imaging.
(3)
This course will be an introduction to signal and image processing methods for functional magnetic resonance imaging (fMRI) of the brain.
512.
Introduction to Computer Graphics [Advanced Image Synthesis].
(3)
(Also offered as CS 512)
Covers image synthesis techniques from perspective of high-end scanline rendering, including physically-based rendering algorithms. Topics: radiometry, stochastic ray tracing, variance reduction, photon mapping, reflection models, participating media, advanced algorithms for light transport.
514.
Nonlinear and Adaptive Control.
(3)
Linearization of nonlinear systems. Phase-plane analysis. Lyapunov stability analysis. Hyperstability and Popov stability criterion. Adaptive control systems. Adaptive estimation. Stability of adaptive control systems, backstepping and nonlinear designs.
Prerequisite: 500.
516.
Computer Vision.
(3)
(Also offered as CS 532)
Theory and practice of feature extraction, including edge, texture and shape measures. Picture segmentation; relaxation. Data structures for picture description. Matching and searching as models of association and knowledge learning. Formal models of picture languages.
517.
Machine Learning [Pattern Recognition].
(3)
(Also offered as CS 531)
Decision functions and dichotomization; prototype classification and clustering; statistical classification and Bayes theory; trainable deterministic and statistical classifiers. Feature transformations and selection.
518.
Synthesis of Nanostructures.
(3)
Brinker, Brueck
(Also offered as CBE, NSMS 518)
Underlying physical and chemical principles (optics, organic and inorganic chemistry, colloid chemistry, surface and materials science) for nanostructure formation using ‘top-down’ lithography (patterned optical exposure of photosensitive materials) and ‘bottom-up’ self-assembly. Labs will synthesize samples.
Prerequisite: NSMS 510.
{Spring}
519.
Theory, Fabrication, and Characterization of Nano and Microelectromechanical Systems (NEMS/MEMS).
(4)
(Also offered as ME, NSMS 519)
Lectures and laboratory projects on physical theory, design, analysis, fabrication, and characterization of micro and nanosystems. Special attention given to scaling effects involved with operation of devices at nano and microscale.
520.
VLSI Design.
(3)
Advanced topics include: lC technologies, CAD tools, gate arrays, standard cells and full custom designs. Design of memories, PLA, I/0 and random logic circuit. Design for testability.
522.
Hardware Software Codesign with FPGAs.
(3 to a maximum of 6 Δ)
This course provides an introduction to the design of electronic systems that incorporate both hardware and software components.
Prerequisite: *443.
523 / 421.
Analog Electronics.
(3)
Design of advanced analog electronics circuits. BJT and MOSFET operational amplifiers, current mirrors and output stages. Frequency response and compensation. Noise. A/D and D/A converters.
525.
Hardware-Oriented Security and Trust.
(3 to a maximum of 6 Δ)
This course provides an introduction to hardware security and trust primitives and their application to secure and trustworthy hardware systems.
528.
Embedded Systems Architecture.
(3)
Development and analysis of techniques and algorithms for use in embedded processor systems. Application of tools implementing solutions to control and data applications involving standard processing paradigms and programmable logic systems.
533.
Digital Image Processing.
(3)
Fundamentals of 2D signals and systems. Introduction to multidimensional signal processing. Applications in digital image processing. Image formation, representation and display. Linear and nonlinear operators in multiple dimensions. Orthogonal transforms representation and display. Image analysis, enhancement, restoration and coding. Students will carry out image processing projects.
534.
Plasma Physics I.
(3)
(Also offered as PHYC 534)
Plasma parameters, adiabatic invariants, orbit theory, plasma oscillations, hydromagnetic waves, plasma transport, stability, kinetic theory, nonlinear effects, applications.
536.
Computer System Software.
(3)
Course considers design principles, implementation issues and performance evaluation of system software in advanced computing environments. Topics include resource allocation and scheduling, information service provider and manipulation, multithreading and concurrency, security for parallel and distributed systems.
537.
Foundations of Computing.
(3)
Computational aspects of engineering problems. Topics include machine models and computability, classification and performance analysis of algorithms, advanced data structures, approximation algorithms, introduction to complexity theory and complexity classes.
538.
Advanced Computer Architecture.
(3)
Course provides an in-depth analysis of computer architecture techniques. Topics include high speed computing techniques, memory systems, pipelining, vector machines, parallel processing, multiprocessor systems, high-level language machines and data flow computers.
539.
Digital Signal Processing.
(3)
Hilbert spaces, orthogonal basis, generalized sampling theorem, multirate systems, filterbanks, quantization, structures for LTI systems, finite word-length effects, linear prediction, min/max phase systems, multiresolution signal analysis.
540.
Advanced Networking Topics.
(3)
Research, design and implementation of high-performance computer networks and distributed systems. High speed networking technologies, multimedia networks, enterprise network security and management, client/server database applications, mobile communications and state-of-the-art internetworking solutions.
541.
Probability Theory and Stochastic Processes.
(3)
Axiomatic probability theory, projection theorem for Hilbert spaces, conditioned expectations, modes of stochastic convergence, Markov chains, mean-square calculus, Wiener filtering, optimal signal estimation, prediction stationarity, ergodicity, transmission through linear and nonlinear systems, sampling.
542.
Digital Communication Theory.
(3)
Elements of information theory and source coding, digital modulation techniques, signal space representation, optimal receivers for coherent/non-coherent detection in AWGN channels, error probability bounds, channel capacity, elements of block and convolutional coding, fading, equalization signal design.
Prerequisite: 541.
546.
Multivariable Control Theory.
(3)
Hermite, Smith and Smith-McMillan canonic forms for polynomial and rational matrices. Coprime matrix-fraction representations for rational matrices. Bezout identity. Poles and zeros for multivariable systems. Matrix-fraction approach to feedback system design. Optimal linear-quadratic-Gaussian (LQG) control. Multivariable Nyquist stability criteria.
Prerequisite: 500.
547.
Introduction to Computer Graphics [Neural Networks].
(3)
(Also offered as CS 547)
A study of biological and artificial neuron models, basic neural architectures and parallel and distributed processing.
549.
Information Theory and Coding.
(3)
An introduction to information theory. Fundamental concepts such as entropy, mutual information, and the asymptotic equipartition property are introduced. Additional topics include data compression, communication over noisy channels, algorithmic information theory, and applications.
Prerequisite: 340 or equivalent.
550.
Social and Ethical Issues in Nanotechnology.
(1-3)
Mills, Fledderman
(Also offered as NSMS 550)
In this course, students will examine issues arising from this emerging technology, including those of privacy, health and safety, the environment, public perception and human enhancement.
551.
Problems.
(1-6 to a maximum of 9 Δ)
553L.
Experimental Techniques in Plasma Science.
(3)
Theory and practice of plasma generation and diagnostics, coordinated lectures and experiments, emphasis on simple methods of plasma production and selection of appropriate diagnostic techniques, applications to plasma processing and fusion.
Prerequisite: 534.
554.
Advanced Optics II.
(3)
(Also offered as PHYC 554)
Diffractions theory, coherence theory, coherent objects, and incoherent imaging, and polarization.
555.
Foundations of Engineering Electromagnetics.
(3)
Mathematical foundations for engineering electromagnetics: linear analysis and method of moments, complex analysis and Kramers-Kronig relations, Green’s functions, spectral representation method and electromagnetic sources.
556 / 456.
Entrepreneurial Engineering.
(3)
(Also offered as ME 556)
Review and application of necessary elements for successfully launching technical businesses; focuses upon technology, manufacturing, management, marketing, legal and financial aspects. Students work in groups developing elements of new businesses and producing business plans.
557.
Pulsed Power and Charged Particle Acceleration.
(3)
Principles of pulsed power circuits, components, systems and their relationship to charged particle acceleration and transport. Energy storage, voltage multiplication, pulse shaping, insulation and breakdown and switching. Single particle dynamics and accelerator configurations.
558.
Charged Particle Beams and High Power Microwaves.
(3)
Overview of physics of particle beams and applications at high-current and high-energy. Topics include review of collective physics, beam emittance, space-charge forces, transport at high power levels, and application to high power microwave generation.
Prerequisite: 557.
559.
Internship in Optical Science and Engineering.
(3)
(Also offered as PHYC 559)
Students do research and/or development work at a participating industry or government laboratory in any area of optical science and engineering.
560 / 460.
Introduction to Microwave Engineering.
(3)
This lecture/laboratory course provides essential fundamentals for rf, wireless and microwave engineering. Topics include: wave propagation in cables, waveguides and free space; impedance matching, standing wave ratios, Z- and S- parameters.
561.
Engineering Electromagnetics.
(3)
Maxwell’s equations, electromagnetic interaction with materials, the wave equation, plane wave propagation, wave reflection and transmission, vector potentials and radiation equations, electromagnetic field theorems, wave propagation in anisotropic media and metamaterials, period structures, dielectric slab waveguides.
Prerequisite: 555.
562.
Electronics RF Design.
(3)
Course will cover rf design techniques using transmission lines, strip lines and solid state devices. It will include the design of filters and matching elements required for realizable high frequency design. Amplifiers, oscillators and phase lock loops are covered from a rf perspective.
563.
Computational Methods for Electromagnetics.
(3)
Computational techniques for partial differential and integral equations: finite-difference, finite-element, method of moments. Applications include transmission lines, resonators, waveguides, integrated circuits, solid-state device modeling, electromagnetic scattering and antennas.
Prerequisite: 561.
564.
Guided Wave Optics.
(3)
Optical propagation in free space, colored dielectrics, metals, semiconductors, crystals, graded index media. Radiation and guided modes in complex structures. Input and output coupling, cross-coupling mode conversion. Directional couplers, modulators, sources and detectors.
565.
Optical Communication Components and Subsystems.
(3)
Optical waveguides, optical fiber attenuation and dispersion, power launching and coupling of light, mechanical and fiber lifetime issues, photoreceivers, digital on-off keying, modulation methods, SNR and BER, QAM and M-QAM, modulation methods, SNR, and BER, intersymbol interference (impact on SNR), clock and data recovery issues, point-to-point digital links, optical amplifiers theory and design (SOA, EDFA, and SRA), simple WDM system concepts, WDM components.
566.
Advanced Optical Subsystems and Networks.
(3)
External modulators WDM system design, other multiple access techniques design issues, analog transmission systems nonlinear processes in optical fibers and their impact on system performance, optical networks, photonic packet switching, coherent lightwave systems, basic principles for homodyne and heterodyne detection, noise reduction, relevant digital modulation formats: PSK, ASK, FSK, DPSK. Practical implementation, performance of synchronous and asynchronous heterodyne systems, phase noise, polarization mismatch.
Prerequisite: 565.
569 / 469.
Antennas for Wireless Communications Systems.
(3)
Aspects of antenna theory and design; radiation from dipoles, loops, apertures, microstrip antennas and antenna arrays.
570.
Optoelectronic Semiconductor Materials and Devices.
(3)
Theory and operation of optoelectronic semiconductor devices; semiconductor alloys, epitaxial growth, relevant semiconductor physics (recombination processes, heterojunctions, noise, impact ionization), analysis of the theory and practice of important OE semiconductor devices (LEDs, Lasers, Photodetectors, Solar Cells).
Prerequisite: 471 or 572.
572.
Semiconductor Physics.
(3)
Sigmon
Crystal properties, symmetry and imperfections. Energy bands, electron dynamics, effective mass tensor, concept and properties of holes. Equilibrium distributions, density of states, Fermi energy and transport properties including Boltzmann’s equation. Continuity equation, diffusion and drift of carriers.
Prerequisite: *471.
574L / 474L.
Microelectronics Processing.
(3)
(Also offered as NSMS 574L)
Materials science of semiconductors, microelectronics technologies, device/circuit fabrication, parasitics and packaging. Lab project features small group design/fabrication/testing of MOS circuits.
576.
Modern VLSI Devices.
(3)
Review of the evolution of VLSI technology and basic device physics. Detailed analysis of MOSFET devices, CMOS device design including device scaling concepts.
Prerequisite: 471 or 572.
577.
Fundamentals of Semiconductor LEDs and Lasers.
(3)
Carrier generation and recombination, photon generation and loss in laser cavities, density of optical modes and blackbody radiation, radiative and non-radiative processes, optical gain, spontaneous and stimulated emission, Fermi’s golden rule, gain and current relations, characterizing real diode lasers, dynamic effects, rate equation; small signal and large signal analysis, radiative intensity noise and linewidth.
Prerequisite: 572.
580.
Advanced Plasma Physics.
(3)
Prerequisite: 534 or PHYC 534.
581.
Colloidal Nanocrystals for Biomedical Applications.
(3)
(Also offered as BIOM, NSMS 581)
Intended for students planning careers combining engineering, materials science, and biomedical sciences. Covers synthesis, nanocrystals characterization, biofunctionalization, biomedical nanosensors, FRET-based nanosensing, molecular-level sensing/imaging, and applications in cell biology, cancer diagnostics and therapy, neuroscience, and drug delivery.
582 / 482.
Electric Drives and Transformers.
(3)
Electromagnetic theory and mechanical considerations are employed to develop models for and understanding of Transformers, Induction Machines and Synchronous Machines. Additionally, DC Machines are discussed.
Prerequisite: 213.
583 / 483.
AC Power Electronics [Power Electronics].
(3)
Introduces modern power conversion techniques at a lower level, dealing with basic structures of power converters and techniques of analyzing converter circuits. Students learn to analyze and design suitable circuits and subsystems for practical applications.
Prerequisite: 321L and 371 and 381.
584 / 484.
Photovoltaics.
(3)
Technical concepts of photovoltaics. Solar cell device level operation, packaging, manufacturing, designing phovoltaic system for stand-alone or grid-tied operation, some business-case analysis and some real-life scenarios of applicability of these solutions.
Prerequisite: 381 and MATH 121.
586.
Design for Manufacturability.
(3)
(Also offered as ME 586)
Introduction to methods of design for manufacturability (DFM). Emphasis is on teamwork and designing your customers needs. This is achieved through statistical methods and computer based systems.
588 / 488.
Smart Grid Technologies.
(3)
A detailed study of current and emerging power and energy systems and technologies. Including renewable energies, storage, Smart Grid concepts, security for power infrastructure. Software modeling of power systems and grids.
Prerequisite: 381 and 582 and 583 and 584.
589 / 489.
DC Power Electronics.
(3)
Analysis and design of practical power electronic circuits and grid or off-grid inverters. Operation and specification of power devices such as diodes, MOSFETS, IGBTs, SCRs, inductors, and transformers. Simulation of converters using SPICE.
Prerequisite: **321L and **371 and 381.
590.
Graduate Seminar.
(1 to a maximum of 2 Δ)
Offered on a CR/NC basis only.
591.
Integrating Nanotechnology with Cell Biology and Neuroscience Seminar.
(1, no limit Δ)
Graduate seminar on Integrating Nanotechnology with Cell Biology and Neuroscience. Grades based on active participation, including oral presentation.
594.
Complex Systems Theory.
(3)
Advanced topics in complex systems including but not limited to biological systems social and technological networks, and complex dynamics.
595 / 495.
Special Topics.
(1-4 to a maximum of 15, 1-4 to a maximum of 9 Δ)
599.
Master's Thesis.
(1-6, no limit Δ)
Offered on a CR/NC basis only.
620.
Topics in Interdisciplinary Biological and Biomedical Sciences.
(3, unlimited Δ)
(Also offered as ANTH 620; BIOL, CS, STAT 520)
Varying interdisciplinary topics taught by collaborative scientists from UNM, SFI, and LANL.
633.
Advanced Topics in Image Processing.
(3 to a maximum of 9 Δ)
Advanced topics including but not limited to computational, mathematical, multi-scale, and spatial statistical methods for multi-dimensional signal processing, multi-spectral imagery, image and video processing.
637.
Topics in Algorithms.
(3 to a maximum of 9 Δ)
Advanced topics including advanced computer architecture, networks, distributed computing, large-scale resource management, high-performance computing and grid-based computing.
Prerequisite: 537.
638.
Topics in Architecture and Systems.
(3 to a maximum of 9 Δ)
Advanced topics including advanced computer architecture, networks, distributed computing, large-scale resource management, high-performance computing and grid-based computing.
Prerequisite: 538.
642.
Detection and Estimation Theory.
(3)
Hypothesis testing; Karhunen-Loeve representation; optimal detection of discrete- and continuous-time signals; ML, MMSE, and MAP estimation; sufficient statistics, estimation error bounds; Wiener and Kalman-Bucy filtering; detection/receivers for multiuser and multipath fading channels.
Prerequisite: 541.
649.
Topics in Control Systems.
(3 to a maximum of 9 Δ)
Prerequisite: 546.
651.
Problems.
(1-6 to a maximum of 9 Δ)
661.
Topics in Electromagnetics.
(3 to a maximum of 9 Δ)
Topics include advanced antenna theory, electromagnetic scattering and propagation, electromagnetic compatibility, low temperature plasma science, advanced plasma physics, and other subjects in applied electromagnetics.
Prerequisite: 561.
699.
Dissertation.
(3-12, no limit Δ)
Offered on a CR/NC basis only.
